AI-Native Transformation Specialist

Job not on LinkedIn

🕒 April 8

🇺🇸 United States – Remote

💵 $90k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 Artificial Intelligence

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DS Technologies

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2004

🤝 B2B

🛍️ eCommerce

B2B • eCommerce

DS Technologies is a Pakistan-based full-service web agency that provides custom web development, UI/UX design, search engine optimization, content writing, digital marketing, and domain & hosting services. The company builds and maintains e-commerce sites and custom web applications, helps clients improve organic visibility and user experience, and supports ongoing site maintenance and integrations for local and international clients.

📋 Description

• Conduct maturity assessments of customer software delivery lifecycles (SDLC) and design roadmaps for transitioning to AI-native engineering practices. • Lead the technical rollout and configuration of AI coding assistants (GitHub Copilot, Cursor, Windsurf) and LLM-based productivity tools within complex enterprise environments. • Redesign core engineering processes—including code review, QA, and documentation—to leverage AI agents and automated workflows, reducing cycle time by 30-50%. • Design and deliver workshops, training sessions, and playbooks to upskill engineering teams, fostering a culture of "learning relentlessly" and safe AI adoption. • Act as an internal change agent for Nous Infosystems, embedding AI-native practices into our own delivery centers to ensure we remain at the cutting edge of digital engineering. • Define and track KPIs related to developer productivity, code quality, and time-to-market to demonstrate tangible ROI from AI investments. • Stay ahead of the curve on emerging AI agents, autonomous coding frameworks, and cloud AI platforms (AWS Bedrock, Azure OpenAI) to continuously evolve our service offerings.

🎯 Requirements

• 8-12+ years of experience in Agile, software engineering, DevOps, or technical consulting, with at least 1 year focused on AI/ML or developer productivity tooling. • Deep, hands-on expertise with AI coding assistants (GitHub Copilot, Cursor) and experience integrating LLMs into development workflows. • Strong background in modern CI/CD pipelines, automated testing frameworks, and Agile methodologies. • Proficiency with major cloud platforms (AWS, Azure, or GCP) and their respective AI/ML ecosystems. • Proven track record of leading technical change management initiatives or digital transformation projects for large enterprises. • Exceptional ability to communicate complex technical concepts to both C-level executives and engineering teams.